Site Reliability Engineering

Reliability engineering that turns production behavior into measurable control

Site reliability is not achieved by adding more alerts. It needs clear service objectives, meaningful indicators, tuned observability, incident ownership, automation paths, and release feedback that engineering and operations can act on.

Sampark applies SRE practices across applications, infrastructure, cloud workloads, databases, APIs, and production support processes. We connect SLIs, SLOs, logs, metrics, traces, alerts, runbooks, and incident workflows into one reliability operating model.

The outcome is a production environment where teams can detect issues earlier, respond faster, reduce toil, and improve reliability through evidence.

SRE execution for production teams that need reliability evidence

For technology teams that need measurable service health, cleaner incident response, sharper alerts, lower toil, and better production readiness.

Reliability Metrics That Matter

We move reliability tracking beyond uptime views by defining SLIs, SLOs, error budgets, latency behavior, error rates, saturation, and service-level signals.

Observability With Context

Logs, metrics, traces, dashboards, and alerts are tied to services, dependencies, user journeys, infrastructure layers, and production support workflows.

Incident Response Discipline

Sampark helps structure severity levels, escalation rules, owner mapping, runbooks, communication paths, war-room flow, and post-incident reviews.

Automation Against Toil

Repetitive checks, restart tasks, validation steps, alert enrichment, support handoffs, and recurring remediation actions are converted into automation.

Release-Aware Reliability

Reliability checks are connected with deployments, rollback signals, feature impact, change risk, production validation, and post-release monitoring.

Continuous Correction Loop

Reliability gaps are captured through incidents, capacity reviews, alert noise, SLO breaches, and operational reviews, then converted into a measurable backlog.

Clinical and Operational AI

Healthcare Intelligence & Automation

AI agents, NLP, and workflow intelligence for patient support, healthcare records, and hospital operations.

Clinical AI Stack

Patient Engagement AI Conversational support for patient journeys Clinical Workflow Support AI-assisted coordination across care teams Healthcare Document AI NLP extraction from records and reports Appointment & Query Automation AI agents for front-desk interactions Medical Knowledge Search RAG search across approved healthcare content Hospital Operations Insights AI detects delays, gaps, and service patterns

AI for Plants and Assets

AI for Plants, Assets & Operations

Machine learning, IoT signals, and agentic monitoring for manufacturing, maintenance, energy, and shopfloor intelligence.

Plant AI Layer

IIoT & IoT Integration AI-ready signals from machines and sensors Predictive Maintenance ML models predict early failure signals MES Intelligence AI visibility into production bottlenecks Shopfloor Monitoring Machine and operator activity intelligence Energy & Asset Insights AI detects abnormal usage and drift Plant Command View AI-assisted operational decision layer

Computer Vision AI

Computer Vision for Real-World Events

Vision AI for workplace safety, surveillance intelligence, restricted zones, movement analysis, and visual evidence workflows.

Vision AI Layer

Intelligent Video Surveillance AI detection over live camera streams Safety Violation Detection Computer vision for PPE and unsafe actions Restricted Area Monitoring AI watches mapped zones and boundaries People & Crowd Analytics Density, movement, and congestion intelligence Vehicle & Gate Intelligence AI-enabled entry and vehicle visibility Event Alerts & Evidence Visual proof for incidents and actions

Workflow and Document AI

Intelligent Workflow & Document Automation

AI agents that classify work, read documents, recommend actions, and move business processes with human control.

Agentic Workflow AI

Workflow Automation AI-guided approvals, tasks, and escalations Intelligent Task Routing AI classifies and assigns business work Document Processing OCR and NLP for document understanding Decision Support Automation AI recommendations for operational decisions Omnichannel Automation AI responses across business channels Exception Management AI detects process delays and SLA risk

Copilots and Knowledge AI

Enterprise Copilots, RAG & Knowledge AI

Enterprise-grade GenAI using approved knowledge, role-aware copilots, document intelligence, and governed AI responses.

RAG & Agents

Enterprise AI Chatbots GenAI support for customers and employees Internal Copilots Role-aware assistants for business teams Knowledge Search / RAG Answers grounded in approved documents Document Summarization LLMs convert long content into insights Business Query Assistant Ask business questions in natural language GenAI Governance Access, audit, and controlled AI behavior

Security Intelligence Layer

AI-Driven Security Operations

AI for threat correlation, anomaly detection, vulnerability prioritization, SOC/NOC assistance, and security response workflows.

AI SecOps

AI Network Security ML detects unusual traffic behavior Threat Correlation AI connects alerts, assets, and users Anomaly Detection Models identify abnormal activity patterns SOC / NOC Intelligence AI support for triage and investigation Vulnerability Intelligence Risk-based AI prioritization of exposure OT / IoT / IIoT Security AI monitoring for connected industrial assets

Forecasting and Decision AI

Forecasting, Risk & Decision Intelligence

Predictive models and GenAI summaries that surface demand signals, risk patterns, operational drift, and decision-ready insights.

Predictive AI

Demand Forecasting ML forecasts volume, demand, and pressure Pattern Discovery AI finds hidden operational trends Risk Prediction Models predict failures and delays Performance Insights AI highlights bottlenecks and gaps Asset Health Insights AI tracks condition and behavior drift Management Decision Views GenAI summaries for leadership action

SRE for production systems that need measurable reliability

SLO and SLI Definition

Observability Engineering

Incident Response Readiness

Toil Reduction and Automation

Capacity and Performance Control

Release Reliability Support

Make Production Reliability Measurable and Operable

Reliability engineering that turns production behavior into measurable control

From reliability targets to operational response discipline

Six layers that make production reliability measurable

Service and Journey Mapping

SLO and Error Budget Design

Observability Signal Setup

Incident Response Engineering

Automation and Toil Reduction

Capacity and Reliability Review

Need stronger production reliability?

SRE execution for production teams that need reliability evidence

Reliability Metrics That Matter

Observability With Context

Incident Response Discipline

Automation Against Toil

Release-Aware Reliability

Continuous Correction Loop

Our Projects

Company

Contact

Email Address

Locations

+91 98734 15969

Service Areas

Digital Transformation

Application & Platform Services

Cloud, Infrastructure & Managed Services

Cybersecurity Services

Data, Automation & IoT Services

Consulting, Staffing & Dedicated Teams